63 citations · 69 across the 8 of their papers we have counts for
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cs.LG2021
Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories
Ali Yazdizadeh, Arash Kalatian, Zachary Patterson +1
Multi-task learning is assumed as a powerful inference method, specifically, where there is a considerable correlation between multiple tasks, predicting them in an unique framewor…
cs.LG2019
A semi-supervised deep residual network for mode detection in Wi-Fi signals
Arash Kalatian, Bilal Farooq
Due to their ubiquitous and pervasive nature, Wi-Fi networks have the potential to collect large-scale, low-cost, and disaggregate data on multimodal transportation. In this study,…
cs.LG2018
Mobility Mode Detection Using WiFi Signals
Arash Kalatian, Bilal Farooq
We utilize Wi-Fi communications from smartphones to predict their mobility mode, i.e. walking, biking and driving. Wi-Fi sensors were deployed at four strategic locations in a clos…